GE
lcqysl/GEMS
GEMS: Agent-Native Multimodal Generation with Memory and Skills
90 4 +2/wk
GitHub 🔥 Heating Up +12.5%
agent generation multimodal reasoning
Trend
4
Star & Fork Trend (15 data points)
Stars
Forks
Multi-Source Signals
Growth Velocity
lcqysl/GEMS has +2 stars this period . 7-day velocity: 12.5%.
Deep analysis is being generated for this repository.
Signal-backed technical analysis will be available soon.
| Metric | GEMS | FrontAgent | Octopoda-OS | Mammo-CLIP |
|---|---|---|---|---|
| Stars | 90 | 90 | 90 | 90 |
| Forks | 4 | 11 | 15 | 34 |
| Weekly Growth | +2 | +0 | +15 | +0 |
| Language | Python | TypeScript | Python | Python |
| Sources | 1 | 1 | 1 | 1 |
| License | N/A | MIT | NOASSERTION | NOASSERTION |
Capability Radar vs FrontAgent
GEMS
FrontAgent
Maintenance Activity 100
Last code push 7 days ago.
Community Engagement 68
Fork-to-star ratio: 4.4%. Lower fork ratio may indicate passive usage.
Issue Burden 70
Issue data not yet available.
Growth Momentum 100
+2 stars this period — 2.22% growth rate.
License Clarity 30
No clear license detected — proceed with caution.
Risk scores are computed from real-time repository data. Higher scores indicate healthier metrics.